RESEARCH 3

• MEASUREMENT process of applying numbers to objects according to a set of rules.
• different assign numbers indicate different objects. NOMINAL SCALE
• NOMINAL SCALE have no real meaning other than differentiating between objects.
• classify categories (gender, eye color, types of car). NOMINAL SCALE
• NOMINAL SCALE attributes are only named
• indicates placement or order so that we can rank people. ORDINAL SCALE
• ORDINAL SCALE the interval, or, difference, or the gaps between each rank are not necessarily equal.
• ranking categories ( competition, socioeconomic status). ORDINAL SCALE
• INTERVAL has equal amount of spaces between each number
• zero serve as a marker between postive and negative values. INTERVAL
• type of scale used in statistics to categorize ( temperature, calendar dates). INTERVAL
• RATIO are meaningful, and there's a true zero point or absolute zero.\
• length, weight, time, age, income . ratio
• INTERVAL distance is meaningful
• developing answers to research problems through the examination and interpretation of data. DATA ANALYSIS
• DESCRIPTIVE ANALYSIS describe the data from a particular sample, hence the conclusion refers only to the sample.
• FREQUENCY DISTRIBUTION present your numeric data in a form of a table of graph
• MODE numeric value distribution that occurs most frequently
• MEDIAN the middle item of a sorted distribution
• MEAN the arithmetic average
• MEASURE OF VARIABILITY compare whether your data are similar or different from each other
• RANGE distance between the highest score and the lowest score ( highest - lowest)
• STANDARD DEVIATION average to which scores deviate from the mean
• CORRELATION describe the relationship between two variables
• INFERENTIAL ANALYSIS used information from sample to make inferences or estimates about the population
• STATISTICAL TEST numerical values that enable you to draw conclusion about a population based on the characteristics of the population sample
• T-TEST assess whether the means of two groups are statistically different from each other
• ANOVA test the significance of differences between means of two or more groups
• REGRESSION measure the degree of relationships between two or more variables